livekit:rtc engine453livekit:rtc_engine - received session close: "signal client closed: \"stream closed\"" UnknownReason Resume

Thanks for reaching out, Ashish. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

how can I make the agent join the livkit room once it gets disconnected

Thanks — to give exact code and steps, which LiveKit SDK and version are you using (JavaScript/web, iOS, Android, or another)? Also tell me: • Is the agent running in a browser, mobile app, or server process? • Do you want fully automatic reconnect (transparent to user) or a retry prompt? With that I’ll provide sample reconnection logic and token/ICE considerations. , with interactive elements

browser, fully automatic reconnect (transparent to user

Thanks — you're asking how to make a browser-based agent automatically rejoin a LiveKit room transparently after a disconnect. Below are the minimal, practical steps and example code to achieve that. What to rely on • The LiveKit JavaScript SDK includes built-in automatic reconnection (WebSocket reconnect + ICE restart) and emits room events you can listen to. No extra server-side reconnect call is required unless your join token expires. What you should implement 1. Listen for room connection state events to detect reconnect attempts and success. 2. Ensure your client can refresh its token if it expires during a disconnect (request a fresh join token from your server and call

room.reconnectWithToken(...)

or re-join depending on SDK version). 3. Optionally preserve local tracks and re-publish after reconnection if needed. Minimal example (browser, JS):

// assume `room` is the connected LiveKit Room instance

room.on('reconnecting', () => {
  console.log('Reconnecting to LiveKit...');
  // update UI if needed (spinner, disabled controls)
});

room.on('reconnected', () => {
  console.log('Reconnected to LiveKit');
  // restore UI
});

room.on('disconnected', () => {
  console.log('Disconnected from LiveKit');
  // if token expired while disconnected, trigger token refresh flow
});

// Token refresh helper (call when you detect auth error / token expiry)
async function refreshTokenAndReconnect() {
  const resp = await fetch('/session/refresh-token'); // your backend endpoint
  const { token } = await resp.json();
  // SDKs differ: either call reconnect API or re-create connection
  await room.reconnectWithToken?.(token); // if available
  // or: create a new Room and join again with token
}

Notes and gotchas • If your join token expires during outage, the SDK cannot reconnect until you supply a fresh token. Detect auth errors in logs and call your token refresh flow. • Keep local MediaStream/Tracks available to re-publish after reconnect if needed. • Use SDK debug logging while testing to see WebSocket close codes and ICE restart attempts. If you want, share your SDK version (exact package version), how you obtain tokens, and a short log around the disconnect — I’ll give a tailored code sample for your setup. Sources: client-sdk-js | livekit/livekit_composite | DeepWiki | client-sdk-flutter | livekit/livekit_composite | DeepWiki | How we built a globally distributed mesh network to scale WebRTC | LiveKit, with interactive elements

I want to ask how can I make the agent which has SST-LLM-TTS pipeline reconnect

Thanks — you want the browser agent running an STT→LLM→TTS pipeline to transparently rejoin and resume after a disconnect. I’ll outline a practical, minimal approach and ask one quick question to tailor code. Quick question: • Do you create and manage the agent pipeline in the client (browser) process, or does your server create the AgentSession and the browser only provides media/controls? Suggested approach (high level) • Rely on the JS SDK’s built‑in reconnection for the Room connection (it will attempt WebSocket reconnect + ICE restart). • Detect reconnection lifecycle via Room events (

reconnecting

,

reconnected

,

disconnected

) and drive pipeline restart/restore from those events. • Handle token expiry: if the join token expires during outage, obtain a fresh token from your backend and call the SDK reconnect method or rejoin. • Preserve or re-create media tracks so STT/TTS can resume (keep local MediaStream objects or recreate them on reconnect). • Reinitialize the STT→LLM→TTS pipeline after the Room is reconnected (or after you successfully rejoin with a refreshed token). Minimal sequence to implement 1. Listen for room lifecycle events. 2. On `reconnecting`: pause UI and suspend pipeline processing (stop sending audio to STT if needed). 3. On `reconnected`: reattach local tracks if they were removed and restart pipeline processing. 4. On

disconnected

with auth errors: fetch a new token from your server, then call

room.reconnectWithToken(token)

or re-create the Room and rejoin. 5. Ensure your pipeline initialization is idempotent so you can safely call it after reconnect. Minimal JS sketch (browser)

// assume you join room initially with `connect(url, token)` and have pipeline functions
room.on('reconnecting', () => {
  console.log('Reconnecting...');
  pausePipeline(); // stop sending audio or queue audio
});

room.on('reconnected', () => {
  console.log('Reconnected');
  // ensure local tracks are published / re-attached
  await ensureLocalTracksPublished();
  resumeOrRestartPipeline();
});

room.on('disconnected', async (reason) => {
  console.log('Disconnected', reason);
  if (reason === 'token_expired' || detectedAuthError()) {
    const { token } = await fetch('/session/refresh-token').then(r => r.json());
    // either reconnect with token or re-create room
    if (room.reconnectWithToken) {
      await room.reconnectWithToken(token);
    } else {
      room = await connect(url, token, options);
      await initPipelineForRoom(room);
    }
  } else {
    // fallback: attempt reconnects (SDK may already be doing this)
  }
});

Agent pipeline specifics • If the browser hosts STT capture and TTS playback: keep local MediaStream across reconnects if possible; rebind the MediaStreamTracks to the PeerConnection after reconnect. • If the server runs the LLM/TTS and the browser only supplies audio: ensure the server can accept resumed/published tracks and your agent session lifecycle on the server can reattach to the room when the browser republished tracks. • Make pipeline init idempotent: detect existing pipeline state and resume instead of duplicating processors. Testing and debugging tips • Enable SDK debug logging to see WebSocket close codes and ICE restart attempts. • Simulate network loss and token expiry to confirm the full flow (reconnect vs explicit token refresh + rejoin). • Capture client logs around reconnection events and the server/agent logs for pipeline start/stop timestamps. If you tell me whether the pipeline runs in the browser or on your server, and which SDK/package version you’re using, I’ll provide a tailored code sample that handles token refresh, track preservation, and agent-session restart. Sources: client-sdk-js | livekit/livekit_composite | DeepWiki | Agent session | LiveKit Documentation | Sequential Pipeline Architecture for Voice Agents | LiveKit | Voice Agent Architecture: STT, LLM, and TTS Pipelines Explained | LiveKit, with interactive elements

I have a AI server pyhton sdk

Thanks — you’re using an AI server with the Python SDK. A couple quick clarifying questions so I give exact code: 1. Which LiveKit Python package and version are you using (e.g.,

livekit-server-sdk

,

livekit-agents

, or other)? 2. Does your server create and manage the AgentSession and the entire STT→LLM→TTS pipeline, or does the browser agent supply audio and the server only processes it? 3. How do you obtain/refresh join tokens now (short-lived JWT from your backend, or another flow)? 4. Do you want the server agent to auto-reconnect and resume the pipeline without any client/browser changes? Once you confirm, I’ll provide a concise Python pattern that: • detects disconnects, • refreshes tokens if needed, • re-establishes the AgentSession/Room connection, • and restarts the STT→LLM→TTS pipeline idempotently., with interactive elements

"livekit-agents[anthropic,assemblyai,cartesia,deepgram,elevenlabs,google,openai,silero,speechmatics,turn-detector]>=1.1.0", "livekit>=1.0.12", "livekit-plugins-noise-cancellation>=0.2.5",

Thanks — I’ll give a concise, practical Python pattern you can adapt for the packages you listed (livekit-agents >=1.1.0, livekit >=1.0.12). This covers detecting disconnects, refreshing a join token, re-creating the AgentSession/Room, and restarting the STT→LLM→TTS pipeline idempotently. One quick question before the snippet: do you fetch fresh join tokens from a backend endpoint like

/session/refresh-token

? If yes, name that endpoint; if not, tell me how you currently obtain tokens. Reconnection pattern (async) • Monitor the AgentSession/Room connection state or catch connection exceptions. • On disconnect or auth failure, request a fresh token from your backend. • Close/cleanup any partially running pipeline safely. • Re-create the AgentSession/Room with the new token and reinitialize the STT→LLM→TTS pipeline. • Make pipeline init idempotent so repeated reconnects don’t duplicate processors. Minimal async sketch (adapt to your pipeline APIs)

import asyncio
from livekit import Room, ConnectOptions  # adjust to actual imports
from livekit_agents import AgentSession  # adjust to actual imports
import aiohttp

REFRESH_TOKEN_URL = "https://your-backend/session/refresh-token"

async def fetch_token():
    async with aiohttp.ClientSession() as s:
        async with s.get(REFRESH_TOKEN_URL) as r:
            r.raise_for_status()
            return (await r.json())["token"]

async def init_agent_session(token):
    # Create/connect Room or AgentSession using your SDK calls
    room = await Room.connect("wss://your-livekit-host", token, options=ConnectOptions())
    agent = AgentSession(room=room)  # pseudo-constructor; adapt to your API
    await agent.start_pipeline()     # start STT->LLM->TTS pipeline (idempotent)
    return agent

async def close_agent(agent):
    try:
        await agent.stop_pipeline()
    except Exception:
        pass
    try:
        await agent.close()
    except Exception:
        pass

async def run_with_reconnect():
    agent = None
    backoff = 1
    while True:
        try:
            token = await fetch_token()
            agent = await init_agent_session(token)
            backoff = 1
            # Wait until agent finishes or raises on disconnect
            await agent.wait_closed()  # or monitor agent.room events
        except Exception as e:
            # Inspect exception for auth errors vs network errors
            # If token expired/auth error, fetch a fresh token immediately
            await close_agent(agent)
            agent = None
            await asyncio.sleep(backoff)
            backoff = min(backoff * 2, 60)
        else:
            # Normal exit — break or continue depending on your workflow
            break

asyncio.run(run_with_reconnect())

Practical notes to adapt this: • Replace

AgentSession

,

Room.connect

,

agent.start_pipeline()

,

agent.wait_closed()

, and

agent.stop_pipeline()

with the real constructors/methods in your livekit-agents version; treat the snippet as structural guidance. • Detect auth/token expiry specifically (SDK may raise a particular exception or return an auth error code) and force token refresh before reconnect attempts. • Keep track of local resources (audio streams, temporary state) so they’re reattached or recreated after reconnect. • Make pipeline start/stop idempotent: check whether components already exist before creating them. • Add logging and limited retry/backoff to avoid tight reconnect loops. If you confirm your token endpoint name and whether the pipeline init runs on the same server process as AgentSession, I’ll convert the sketch into a concrete example using the exact livekit-agents API calls. , with interactive elements